摘要
由于传统的航行轨迹数据采集算法对数据没有进行优化处理,导致数据采集精度低,无法满足船舶微惯导网络需求。因此,提出一种船舶微惯导网络中航行轨迹数据采集算法。在采集算法设计中,首先进行船舶航行轨迹的数据挖掘。然后,以航行数据为基础,结合遗传算法,完成船舶航行轨迹数据算法优化。最后,通过对航行轨迹的分析,实现船舶航行轨迹数据采集。实验结果表明,本文设计的数据采集算法,在相同的更新速度条件下,相比2种传统算法,数据采集精度更高。
due to the traditional data acquisition algorithm of navigation trajectory, the data is not optimized, resulting in low accuracy of data acquisition, which can not meet the requirements of ship micro inertial navigation network. Therefore, this paper puts forward the data acquisition algorithm of navigation trajectory in ship micro inertial navigation network.In the design of acquisition algorithm, the data mining of ship navigation trajectory is carried out firstly. Then, based on navigation data, combined with genetic algorithm, the algorithm optimization of ship navigation trajectory data is completed. Finally, through the analysis of navigation trajectory, the data acquisition of ship navigation trajectory is realized. Experimental results: the data acquisition algorithm designed in this paper has higher accuracy than the two traditional algorithms under the same update speed.
作者
周俊燕
ZHOU Jun-yan(Xinlian College of Henan Normal University,Xinxiang 453007,China)
出处
《舰船科学技术》
北大核心
2021年第10期25-27,共3页
Ship Science and Technology
基金
河南省软科学研究计划项目(162400410319)
关键词
船舶
微惯导网络
航行轨迹
数据采集
ship
micro inertial navigation network
navigation trajectory
data acquisition
